Exponential stability analysis for a class of neutral singular Markovian jump systems with time-varying delays

被引：22
|
作者：
Long, Shaohua [1 ]
Zhong, Shouming [2 ]
Guan, Hongbo [3 ]
Zhang, Dian [4 ]
机构：
[1] Chongqing Univ Technol, Sch Sci, Chongqing 400054, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China
[3] Hunan Inst Technol, Sch Math Phys & Energy Engn, Hengyang 421002, Peoples R China
[4] Qingdao Univ Sci & Technol, Coll Automat & Elect Engn, Qingdao 266061, Shandong, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2019年 / 356卷 / 12期
关键词：
CHAOTIC NEURAL-NETWORKS; H-INFINITY CONTROL; LINEAR-SYSTEMS; STABILIZATION; SYNCHRONIZATION; PROBABILITY; DESIGN;
D O I：
10.1016/j.jfranklin.2019.04.036
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the exponential stability problem for a class of neutral singular systems with Markovian jump parameters. The considered systems involve time-varying delays not only in their state but also in their derivatives of state. By using the Lyapunov-Krasovskii functional method, some sufficient conditions are derived, which ensure that the considered systems are regular, impulse-free and exponentially stable. Finally, some numerical examples are employed to demonstrate the effectiveness of the obtained approaches. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：6015 / 6040
页数：26
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